Extraction of novel features for emotion recognition

Hilbert-Huang transform method has been widely utilized from its inception because of the superiority in varieties of areas. The Hilbert spectrum thus obtained is able to reflect the distribution of the signal energy in a number of scales accurately. In this paper, a novel feature called ECC is proposed via feature extraction of the Hilbert energy spectrum which describes the distribution of the instantaneous energy. The experimental results conspicuously demonstrate that ECC outperforms the traditional short-term average energy. Combination of the ECC with mel frequency cepstral coefficients (MFCC) delineates the distribution of energy in the time domain and frequency domain, and the features of this group achieve a better recognition effect compared with the feature combination of the short-term average energy, pitch and MFCC. Afterwards, further improvements of ECC are developed. TECC is gained by combining ECC with the teager energy operator, and EFCC is obtained by introducing the instantaneous frequency to the energy. In the experiments, seven status of emotion are selected to be recognized and the highest recognition rate 83.57% is achieved within the classification accuracy of boredom reaching 100%. The numerical results indicate that the proposed features ECC, TECC and EFCC can improve the performance of speech emotion recognition substantially.     

Rotenone induces more serious learning and memory impairment than α-synuclein A30P does in Drosophila

Parkinson’s disease (PD) is a heterogenous disease caused by multifactorial etiology. PD is characterized by the loss of dopaminergic (DA) neurons in the substantia nigra and the accumulation of Lewy bodies. In this study, two Drosophila PD models by exposing Drosophila to rotenone (sporadic PD models) are proposed, and the human α-synuclein A30P protein (family PD models) in Drosophila is expressed respectively. Both models recapitulated the main human PD symptoms including the loss of dopaminergic neurons...     

Area-time associated test cost model for SoC and lower bound of test time

A novel test access mechanism (TAM) architecture with multi test-channel (TC) based on IEEE Standard 1500 is proposed instead of the traditional sub-TAM structure. The cost model of an area-time associated test and the corresponding lower bound of system-on-chip (SoC) test time are established based on this TAM architecture. The model provides a more reliable method to control the SoC scheduling and reduces the complexity in related algorithm research. The result based on the area time associated test cost model has been validated using the ITC’02 test benchmark.     

我们为什么要追寻容闳和留美幼童的足迹

从容闳与留美幼童这个重大事件所处时代及事件性质所具有的标志性来看,从解剖一个时代社会横断面的历史研究方法和留美幼童在中国留学史中所表现出的先锋、示范作用来看,容闳和留美幼童的足迹是值得我们努力追寻的。有关容闳与留美幼童历史的研究,十余年来取得了丰硕的成果,发现了不少值得探索的新课题。对容闳与留美幼童的研究作出重要贡献的单位和个人,都值得我们尊敬和学习。     

韦氏儿童智力量表与特殊儿童测查:挑战、改革与发展

韦氏儿童智力量表是迄今为止最权威和应用最广泛的儿童智力量表之一.自面世 以来,它在各特殊儿童的筛查、诊断、安置、干预与治疗过程中一直发挥着重要作用.目 前,该量表已发展到第四版,并仍在不断地修订中.总结该量表在特殊教育领域内的应用 现状并省思其在实践过程中遭遇的困境与挑战,进而把握其进一步改革的研究方向及发展 趋势,有助于促进国内特殊教育的发展.文章回顾了该量表在国内外的发展简史,就各类 特殊儿童智力测查对该量表提出的挑战进行了总结,对其实践中遇到的问题进行了分析, 指出了其在发展过程中已有的改进措施和尚未解决的问题及继续研究的方向,并在此基础 上总结了该智力测验发展的七大趋势.     

刘宋、南齐财政体系与货币政策初探

刘宋、南齐二朝财政收入以农业税收为大宗,田租、户调大体沿袭东晋,唯户调货币征收比重增加;商业税收项目大体沿袭前代。中央与地方财政关系受政局变动和社会稳定程度影响颇深。由于刘宋、南齐二朝财政状况总体不佳,官员俸禄一般无法正常发放,地方官通过送故钱弥补朝廷俸禄的不足。刘宋、南齐二朝经济状况的走势也反映在货币政策的变化上。     

数据处理在计算机辅助测试系统中的应用

计算机辅助测试系统通常采用数字滤波与整体曲线拟合的数据处理方法.以一组泵类试验中的实测数据为例,说明数据处理的原理、计算和实现的过程,以及通过曲线拟合得到的产品性能曲线.     

Modelling parenting styles,moral intelligence,academic self-efficacy and learning motivation among adolescents in grades 7–11

The current study investigated the associations between three maternal and paternal parenting styles, moral intelligence, academic self-efficacy and learning motivation in three serial mediation models. Omani adolescents enrolled in 7th to 11th grades (N = 296) responded to an online survey containing demographic items and scales measuring the variables noted above. Results of Path Analysis indicated that the three models had a good overall fit. In detail, the three paternal styles (authoritative, authoritarian and permissive) had direct associations with moral intelligence and indirect associations with learning motivation. However, only two maternal parenting styles (i.e., authoritative and authoritarian) correlated directly with learning motivation and these two styles did not associate with moral intelligence. All effects were in the hypothesized direction except the effect of authoritative maternal and paternal styles. Moral intelligence had a positive direct correlation with students’ academic self-efficacy and learning motivation. Moral intelligence also mediated the negative associations between three types of fathers’ parenting styles and students’ motivation. Academic self-efficacy had a positive association with students’ motivation. These findings provided useful insights about the various association between external factors (e.g., parenting styles), internal factors (i.e., moral intelligence and self-efficacy) and students’ motivation among adolescents in middle and high schools.     

电动车能量再生技术

1　Introduction　Therateddistanceisoneofkeyfactorstolimitthedevelopmentofelectricvehicle (EV)sinceEVwasin vented .Itisawayforincreasingtherateddistancetoputtheadvancedenergyregenerationtechnologyintouse .Manyexperimentsprovethattheactualrateddistanceofaelectricscooterunderthecityroadsur roundingsisabout 35 - 45kmwhileitisabout 5 5 - 6 5kmunderthestandard proving ground .Moreover ,JapanToyotaalsoprovedthattherateddistancecouldbeincreasedby 2 0 %whenusingtheenergyregenera tionsysteminEV .Soi…     

人工神经网络在建设工程评标中的应用模型

本文提出在建设工程评标中应用人工神经网络优选中标企业,详细介绍了该方法的应用模型及应用步骤,并且用实例来说明了该方法的优越性和实用性.